The response we've received since the launch of Maple 13 and MapleSim 2 has been amazing!

MapleSim2, which is now fully integrated with Maple at its core, delivers 3-D animation and visualization capabilities that can easily transform multibody models into realistic animations, improving engineers' insight into system behavior. Maple 13, the latest release of the company's symbolic computation engine, offers completely new 3-D plotting facilities designed to make 3-D plots more meaningful and easier to interpret. Design News

MapleSim has a lot in common with MathWorks®’ Simulink®, but, interestingly, it works by finding the differential equations for a system, which Maple simplifies analytically before solving. This process is potentially faster and more accurate than Simulink®’s purely numerical approach. IEEE Spectrum

In comparison with others, Maple can do in a couple of hours what other software can take days to compute. The natural math notation allows me to enter the equations as if I were writing them by hand. The fact that I can do symbolic calculations allows me to do optimizations that are virtually impossible with other software. What’s more, the results are extremely accurate. Jean-Lous Ligier, R&D Manager, Renault

Maple 13 and MapleSim 2 provide the necessary technology to reduce errors and dramatically increase your analytical productivity at every stage of the design process. Now’s your chance to experience the benefits only available in the newest versions of Maple and MapleSim.

The task of effective modeling, simulation, or control has become complex and in many cases unwieldy. Whether it is multi-domain modeling, or high-performance real-time simulation for control applications, systems have become more sophisticated and requirements more stringent. Consequently, many engineers are evaluating the way they have been doing things and exploring possibilities for alternate approaches. This webinar presents two complementary perspectives on this critical issue: the application perspective and the computational perspective.

Joe Steiber, a Principal Engineer at the Southwest Research Institute in Texas, is currently engaged in a range of difficult modeling projects for tomorrow’s car. Challenges such as achieving sufficient computational speed, or how to reconcile empirical data with physical models, or how to increase model fidelity, are examples of the kinds of complex challenges that he and his colleagues must resolve. He will provide the audience of this webinar with insight into the nature of modern modeling challenges, including specific examples from various current projects, and some thoughts on where effective solutions may lie.

Dr. Tom Lee, Chief Evangelist at Maplesoft, and mechanical engineer by background, will offer his thoughts on how the computing industry is currently responding to emerging challenges. In the areas of dynamic simulation and control, the computing framework is literally decades old and is currently being supplemented with a new generation of modeling tools better adept at dealing with the scientific advancements and more complex mathematics of today. He will offer an historical and a contemporary survey as well as a roadmap for the near future of engineering modeling tools.

Since the goal of a rocket is to arrive at a particular destination point at a particular moment in time, understanding the trajectory the rocket will follow is an essential aspect of rocket design. Atmospheric conditions such as wind and rain can dramatically change the rocket’s path.

In this application, engineers use MapleSim to:

Create a realistic model of the rocket in MapleSim. The model is divided into separate subsystems, each of which is responsible for a particular aspect of the rocket.

Incorporate a random variable into the model to simulate the effect that environment conditions have on drag.

Perform a Monte Carlo simulation to understand the effects of changes in atmospheric conditions. The results are used to estimate the bounds of the trajectory.

The Great Shrinker A Boston-area comedian by the name of Steven Wright used to say, “It’s a small world, but I wouldn’t want to have to paint it.” Well, that tells you more about my sense of humor than about geography, but it’s true – it is a small world. And it’s getting smaller and smaller.Read More>>

Postcard from the road: China... third time's a charm The great Chinese philosopher Laozi (aka Lao-tzu) once remarked that a journey of a thousand miles begins with a single step. With my recent business trip to China, I feel that I have a blog posting of a thousand miles ready to burst onto my keyboard... Read More>>

Lucky 13? The Canadian Press reported last week the fortune of 13 women working on the 13th floor of an Edmonton bank tower winning a $50-million lottery jackpot. Combine this with the recently released version 13 of Maple and one might claim that notorious number 13's luck is changing.Read More>>

Spring is in the AirFor me, spring in my town is not defined by the temperature or amount of sunshine. It’s defined, oddly enough, by robots…. Read More>>

Many users rely on the world’s best symbolic computation engine, Maple, for their critical day-to-day work. With access to the Maple symbolic engine, formulating robust solutions is easier and faster than with numeric computation alone, enabling you to obtain highly accurate results.

Maple is unique in delivering greater depth and breadth of computational abilities and superior performance in power, speed, and scalability. Maple’s integration of special functions, advanced differential equation solvers, tools for solving systems of equations and a wide variety of built-in packages such as Optimization, Statistics, and Dynamic Systems allow you to extend your solutions well beyond the scope of traditional symbolic computing tools.

The Maple Toolbox for MATLAB® is a technical computing solution that is tightly integrated with MATLAB®, providing direct access to all the commands, variables, and functions of each product while working in either environment.

In this webinar and Q&A session, you will see:

How the Maple Toolbox for MATLAB® creates seamless interoperability between Maple and MATLAB®, making it easy to work in either environment

How you can leverage the extensive functionality available in order to use the tools that are best suited to your specific task

A wide range of applications in which the Maple Toolbox for MATLAB® can help you work more effectively and efficiently

How to conveniently manage and document your work as you develop solutions

You will also find out how you can get your free copy of the Maple Toolbox for MATLAB®!

This one-hour demonstration and Q&A forum introduces MapleSim™ 2, the high-performance, multi-domain modeling and simulation tool, and Maple™ 13, the technical computing software for today’s technical professionals. These products are based on Maplesoft’s core technologies, which include the world’s most advanced symbolic computation engine and revolutionary physical modeling techniques. Together, they provide cutting-edge tools for design, modeling, and high-performance simulation that can lower costs and reduce product cycle time by weeks and months.

MapleSim™ 2 is a tool for multi-domain physical modeling and control systems development. Systems are described in a compact and intuitive component diagram using next-generation physical modeling techniques, making them easier to build and understand. Model equations are automatically generated and simplified, yielding concise models and high-speed simulations of sophisticated systems. With MapleSim 2, you will produce better products and dramatically shorten the product development cycle.

At the core of MapleSim lies Maple, the technical computing software which contains a highly advanced symbolic computation engine, powerful numeric solvers, and an intuitive technical document interface. Maple can be used in conjunction with MapleSim or as a stand-alone product. Maple lets you explore, visualize, and solve even the most complex mathematical problems. Whether you need to do quick calculations, develop design sheets, or produce sophisticated high-fidelity simulation models, Maple 13 provides the necessary technology to reduce errors and dramatically increase your analytical productivity.

Software Reviewer Felix Grant takes a critical look at the new features, and finds them so delightful that he does unfamiliar mathematics just for the pleasure of doing it with Maple 13! “Maple development embraces the unspoken duty of such software to educate as well as perform,” he says

“After analyzing the simulation results, Ligier reduced engine noise by as much as 30%. Modeling the engine in Maple allowed him to analyze the symbolic equations and plot numeric results to locate unwanted vibrations. Using the software, Ligier was able to create and run the model in one day.”

In addition to these articles, check out the Media Center for all the latest coverage on Maplesoft.

You are receiving this newsletter in an effort to keep you up-to-date on the latest developments at Maplesoft. To manage subscriptions or to opt out of all commercial email communications from Maplesoft, please click here. To view our privacy policy, click here.